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Poverty Projections for Pakistan : Nowcasting and Forecasting

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  • Oscar Eduardo Barriga Cabanillas
  • Kishwar,Shabana
  • Moritz Meyer
  • Nasir,Muhammad
  • Maria Qazi

Abstract

In the fiscal year 2018/19, 21.9 percent of the population in Pakistan lived below the national poverty line. Since then, the COVID-19 pandemic, devastating floods in 2022, and a macro-fiscal crisis with record inflation have profoundly impacted economic activity and income-earning opportunities. The absence of a new household survey limits the ability to ascertain the implications of these different shocks on household welfare and poverty. Up-to-date welfare information is crucial for formulating appropriate policy responses to crises that directly affect households’ socioeconomic well-being. To overcome the lack of current data, this paper proposes a microsimulation tool that combines microdata from the latest national household survey with high-frequency macro indicators to produce nowcasts and forecasts of poverty. The tool models household consumption by using individual and household characteristics and accounts for changes in labor markets, inflation, social transfers, and remittances. The results account for household-specific inflation rates, which reflect systematic variation in household consumption patterns and sector-specific growth rates. Using the preferred specification, the findings suggest that in the fiscal year 2022/23, the poverty rate stood at 25.3 percent, an increase of seven percentage points compared to the 2021/22 period, and representing about 13 million additional people falling into poverty. Moreover, in addition to the projected increase in poverty, poor households face disproportionately higher welfare losses and get pushed deeper into poverty.

Suggested Citation

  • Oscar Eduardo Barriga Cabanillas & Kishwar,Shabana & Moritz Meyer & Nasir,Muhammad & Maria Qazi, 2024. "Poverty Projections for Pakistan : Nowcasting and Forecasting," Policy Research Working Paper Series 11010, The World Bank.
  • Handle: RePEc:wbk:wbrwps:11010
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    2. David Locke Newhouse & Pallavi Vyas, 2018. "Nowcasting poverty in India for 2014-15: A Survey to Survey Imputation Approach," Global Poverty Monitoring Technical Note Series 6, The World Bank.
    3. Caruso,German Daniel & Lucchetti,Leonardo Ramiro & Malasquez,Eduardo & Scot,Thiago & Castaneda, R. Andres, 2017. "But ? what is the poverty rate today? testing poverty nowcasting methods in Latin America and the Caribbean," Policy Research Working Paper Series 8104, The World Bank.
    4. Leventi, Chrysa & Rastrigina, Olga & Sutherland, Holly, 2015. "Nowcasting: estimating developments in the risk of poverty and income distribution in 2013 and 2014," EUROMOD Working Papers EM12/15, EUROMOD at the Institute for Social and Economic Research.
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